
Chief Artificial Intelligence Architect
2 weeks ago
Job Overview:
- This is an exceptional opportunity to leverage your machine learning expertise in a dynamic environment.
- You will work closely with cross-functional teams to develop and implement cutting-edge machine learning models.
Key Responsibilities:
- Design and deploy predictive models using Python, SQL, and other relevant tools.
- Collaborate with data scientists and engineers to identify opportunities for applying machine learning techniques to business problems.
- Conduct research and experimentation to explore new machine learning approaches and technologies.
- Optimize existing machine learning models for improved performance and efficiency.
- Provide technical leadership and mentorship to junior team members.
Requirements:
- Strong background in machine learning, natural language processing, artificial intelligence, predictive modeling, statistical modeling.
- In-depth knowledge of reinforcement learning algorithms (e.g., DQN, PPO, Actor-Critic) with hands-on project experience.
- Proven experience in time series forecasting methods (e.g., ARIMA, LSTM, Prophet) and their practical application.
- Proficient in Python, SQL, and other relevant programming languages.
- Familiarity with cloud computing platforms such as AWS or Azure is a plus.
- Ability to work collaboratively in a dynamic environment and communicate effectively with stakeholders at all levels of the organization.
- Bachelor's or master's degree in computer science, mathematics, statistics, or related field with a minimum of 5 years of experience.
Qualifications:
- Expertise in Python with the ability to write performant production-quality code, familiarity with SQL.
- Experience building and operating large-scale distributed systems using Amazon Web Services (S3, Kinesis, CloudFormation, EKS, AWS Security and Networking).
- Experience with distributed large-scale data processing.
- Basic understanding of the machine learning project lifecycle.
- Experience building and scaling machine learning models using large amounts of data.
- Expertise in Python and the ability to write performant production-quality code, familiarity with SQL.
Preferred Skills:
- Experience working in a consumer or B2C space for a SaaS product provider, or the enterprise/B2B space.
- Excelling in solving ambiguous and complex problems, being able to navigate through uncertain situations, breaking down complex challenges into manageable components and developing innovative solutions.
About this role:
We are seeking a talented Machine Learning Engineer to join our team. If you have a strong passion for machine learning and a desire to work in a fast-paced environment, we encourage you to apply.
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